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Lauric Ferrat

@laferrat.bsky.social

3 Posts16 Follower27 Folgt
Lauric Ferrat@laferrat.bsky.social · 6mo ago

Our new microsimulation model to optimise T1D screening by balancing cost, pragmatism, and reduced diabetic ketoacidosis is out. #T1D #T1Dscreening doi.org/10.1007/s402...

Development of a Patient-Level Multi-objective Optimisation Model for Screening Strategies for Childhood Type 1 Diabetes - PharmacoEconomics

Objective To develop a patient-level simulation model of type 1 diabetes (T1D) covering both childhood and adulthood. The goal is to identify and evaluate the cost-effectiveness of optimal screening f...

doi.org

Diabetologia@diabetologiajnl.bsky.social · last yr.

Addressing type 1 diabetes prediction challenges: study compares trade-offs between cost, performance models and participant time and provides insights for tailored risk screening. #T1D #DiabetesResearch #RiskScreening link.springer.com/article/10.1... 🔓

Type 1 diabetes prediction in autoantibody-positive individuals: performance, time and money matter - Diabetologia

Aims/hypothesis Efficient prediction of clinical type 1 diabetes is important for risk stratification and monitoring of autoantibody-positive individuals. In this study, we compared type 1 diabetes pr...

link.springer.com

@erinltempleman.bsky.social · last yr.

🚨Big news! Excited to share my first PhD paper!🎉 We validated & improved a T1D risk model using TrialNet data (originally from TEDDY), boosting accuracy 📈 bmcmedicine.biomedcentral.com/articles/10.... Try the web tool 👉 t1dpredictor.diabetesgenes.org #T1D #RiskPrediction #PrecisionMedicine #TrialNet

Development and recalibration of a multivariable type 1 diabetes prediction model for type 1 diabetes across multiple screening studies - BMC Medicine

Background Accurate type 1 diabetes prediction is important to facilitate screening for pre-clinical type 1 diabetes to enable potential early disease-modifying interventions and to reduce the risk of...

bmcmedicine.biomedcentral.com